Recognition of environmental sounds

Authors:
Richard S. Goldhor
Affiliations:
AudioFile, Inc., Lexington, Massachusetts
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Year:
1993

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Abstract

This paper describes a preliminary study designed to answer the question, "How well can familiar environmental sounds be identified?" By "familiar" we mean sounds on which the recognition system has been previously trained. By "environmental sounds" we mean sounds generated by acoustic sources common in domestic, business, and out-of-doors environments. The results of this study indicate that well-isolated familiar sounds can be recognized with high accuracy by applying standard statistical classification procedures to feature vectors derived from two-dimensional cepstral coefficients.